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dc.contributor.authorAyoade, Idowu A.
dc.contributor.authorAdedigba, Adeyinka
dc.contributor.authorAdeyemi, Oluseyi
dc.contributor.authorAdeaga, Oyetunde A
dc.contributor.authorAkanbi, Oreoluwa
dc.date.accessioned2023-10-03T15:15:01Z
dc.date.available2023-10-03T15:15:01Z
dc.date.issued2022-12-18
dc.identifier.citationAyoade , I A , Adedigba , A , Adeyemi , O , Adeaga , O A & Akanbi , O 2022 , ' TRENDS AND PROSPECTS OF DIGITAL TWIN TECHNOLOGIES: A REVIEW ' , Quantum Journal of Engineering, Science and Technology (QJOEST) , vol. 3 , no. 4 , pp. 11-24 .
dc.identifier.issn2716-6341
dc.identifier.urihttp://hdl.handle.net/2299/26826
dc.description© Quantum Journal of Engineering, Science and Technology (QJOEST). This is an open access article under the CC BY-NC-ND licence, https://creativecommons.org/licenses/by-nc-nd/4.0/
dc.description.abstractThe plethora of technologically developed software and digital types of machinery are widely applied for industrial production and the digitalization of building technologies. The fourth industrial revolution and the underlying digital transformation, known as Industry 4.0 is reshaping the way individuals live and work fundamentally. However, the advent of Industry 5.0 remodels the representation of industrial data for digitalization. As a result, massive data of different types are being produced. However, these data are hysteretic and isolated from each other, leading to low efficiency and low utilization of these valuable data. Simulation based on the theoretical and static model has been a conventional and powerful tool for the verification, validation, and optimization of a system in its early planning stage, but no attention is paid to the simulation application during system run-time. Dynamic simulation of various systems and the digitalization of the same is made possible using the framework available with Digital Twin. After a complete search of several databases and careful selection according to the proposed criteria, 63 academic publications about digital twin are identified and classified. This paper conducts a comprehensive and in-depth review of this literature to analyze the digital twin from the perspective of concepts, technologies, and industrial applicationsen
dc.format.extent15
dc.format.extent235680
dc.language.isoeng
dc.relation.ispartofQuantum Journal of Engineering, Science and Technology (QJOEST)
dc.subjectDigital twins
dc.subjectliterature review
dc.subjectdigital asset management
dc.subjectsmart infrastructures
dc.titleTRENDS AND PROSPECTS OF DIGITAL TWIN TECHNOLOGIES: A REVIEWen
dc.contributor.institutionSchool of Physics, Engineering & Computer Science
dc.contributor.institutionDepartment of Engineering and Technology
dc.description.statusPeer reviewed
dc.identifier.urlhttps://www.qjoest.com/index.php/qjoest/article/view/79
rioxxterms.typeJournal Article/Review
herts.preservation.rarelyaccessedtrue


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